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The Features of Statistical Decision Making in Environmental Monitoring Systems
- Authors: Mkrtchyan F.A.1
-
Affiliations:
- Fryazino branch Kotelnikov Institute of Radio Engineering and Electronics of RAS
- Issue: Vol 70, No 10 (2025)
- Pages: 939-949
- Section: TO THE 70th ANNIVERSARY OF THE KOTELNIKOV IRE RAS
- URL: https://stomuniver.ru/0033-8494/article/view/696904
- DOI: https://doi.org/10.7868/S3034590125100077
- ID: 696904
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Abstract
This article develops statistical decision-making methods for classical and sequential procedures under conditions of limited observation volume based on remote and contact measurement data. A comparative analysis is conducted for classical and sequential statistical decision-making procedures. Based on this analysis, the possibilities of their application under conditions of fragmentary in time and fragmentary in space measurement data are determined. Algorithms and computational procedures for classical and sequential analysis are considered. A unified automated statistical decision-making system for both procedures is developed, which has a wide range of functions and uses a hierarchical menu.
About the authors
F. A. Mkrtchyan
Fryazino branch Kotelnikov Institute of Radio Engineering and Electronics of RAS
Author for correspondence.
Email: ferd47@mail.ru
Vvedensky Squar., 1, Fryazino, Moscow region, 141190 Russian Federation
References
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